I'll be giving an evening talk at the New York Predictive Analytics World, http://www.predictiveanalyticsworld.com/newyork/2011/. The rough plan:

This talk will touch upon topics in data analysis, statistics, and computing relating to modern massive data challenges. How do classical theories in statistical inference and asymptotics translate into statistical practice in the modern world? What role should complex Bayesian procedures and other cutting-edge methodologies have in the data analyst toolkit? Computationally, how can we manage the data deluge and how is statistical software evolving? What are the implications for the data analyst? What are the dangers posed by

addressing these very questions? I'll suggest possible answers to some of these questions, and hope to spur further debate by posing others.

I attended this presentation, and greatly enjoyed it. I copied down a URL for the slides, http://www.stat.yale.edu/~jay/PAW.pdf, but evidently that was wrong. I couldn't find another candidate link on Professor Emerson's home page. Are the slides available? Thanks!

ReplyDeleteThat is actually the correct URL.

ReplyDeleteI don't know what went wrong before, but I got it now... thanks!!

ReplyDelete